PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 1,740 words searched).

  1. make another . MOT · eng_british_Manchester_II/warr10b.cha, line 197 · Warren 2;01
  2. do you want to make this a tall tower ? MOT · eng_british_Manchester_II/warr10b.cha, line 203 · Warren 2;01
  3. go home and make the tea . MOT · eng_british_Manchester_II/warr10b.cha, line 435 · Warren 2;01
  4. you could make some cups of tea and put the food on plates , couldn't you ? MOT · eng_british_Manchester_II/warr10b.cha, line 437 · Warren 2;01
  5. why don't we make a little place where the animals can live ? MOT · eng_british_Manchester_II/warr10b.cha, line 807 · Warren 2;01
  6. make a tower here for the penguin to sit on . MOT · eng_british_Manchester_II/warr10b.cha, line 925 · Warren 2;01
  7. make him better . INV · eng_british_Manchester_II/warr10b.cha, line 1006 · Warren 2;01
  8. what had Warren done to make you cry ? MOT · eng_british_Manchester_II/warr10b.cha, line 1169 · Warren 2;01
  1. CHImake another tower .
    CHImake another tower .
    MOT*MOT: make another .
    MOTanother tower .
    CHIanother tower .
  2. MOTanother tower .
    CHIanother tower .
    MOT*MOT: do you want to make this a tall tower ?
    MOTnow we need two little ones to fill in that gap .
    CHIlook at that .
  3. MOTand there's your shopping .
    MOTyou can take it home now .
    MOT*MOT: go home and make the tea .
    MOTyou could make some cups of tea and put the food on plates , couldn't you ?
    CHIyeah .
  4. MOTyou can take it home now .
    MOTgo home and make the tea .
    MOT*MOT: you could make some cups of tea and put the food on plates , couldn't you ?
    CHIyeah .
    MOTwhere are you going ?
  5. MOTyour bus .
    CHIdrive along the bus .
    MOT*MOT: why don't we make a little place where the animals can live ?
    CHIanimals .
    MOTa little field .
  6. MOTlook .
    CHIxxx .
    MOT*MOT: make a tower here for the penguin to sit on .
    MOTstand on .
    MOTput a whale on there .
  7. INVoh shall I hug the monkey ?
    INVokay .
    INV*INV: make him better .
    INVthere .
    INVhe's all better now .
  8. MOTare you better now ?
    MOTgood .
    MOT*MOT: what had Warren done to make you cry ?
    MOToh what had you done ?
    MOTlisten to what you did .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Warren eng_british_Manchester_II4.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr10b.chaWarren 2;1.141,740884.60

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. make8 · 100.0%